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3 years ago

Need the answer pls!!!!!

Mathematics

2 answers:

damaskus [11]3 years ago

3 0

The answer is -3

......

laila [671]3 years ago

3 0

Answer: <em>the y-intercept would be</em> -3

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Hhhhhhhhhhhhhhhhhhhiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii

Airida [17]

Answer:

hhhhhhhhhhhhhhhhhhhiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii

Step-by-step explanation:

7 0

2 years ago

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Helppp meee pleasssseee!!!

aivan3 [116]

Answer:

19°

Step-by-step explanation:

Set up the equation (triangles add up to 180 degrees)(Right angles are 90 degrees).

39 + 90 + 2x + 13 = 180

142 + 2x = 180

2x = 38

x = 19

5 0

2 years ago

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Need help with #1 “how is the equation y= 2x similar to the equation y= 2x + 3?how is it different?”

Karo-lina-s [1.5K]

Answer:

The 2nd one would be different from the first because you are adding 3.

Step-by-step explanation:

6 0

3 years ago

On a track for remote controlled racing cars racing car A completes the track in 28 seconds while racing car B completes it in 2

ankoles [38]

We'll take out LCM of 24 seconds and 28 seconds.
that is, 168 seconds.

That means,
Car A and Car B will be side by side to each other after 2 mins 48 seconds after start.

5 0

3 years ago

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In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes

ale4655 [162]

Answer:

The sample mean is $\bar{x}=14.371$ min.

The sample standard deviation is $\sigma = 18.889$ min.

Step-by-step explanation:

We have the following data set:

$\begin{array}{cccccccc}0.15&0.82&0.81&1.44&2.70&3.28&4.00&4.70\\4.96&6.49&7.25&8.03&8.40&12.15&31.89&32.47\\33.79&36.80&72.92&&&&&\end{array}$

The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values.

The formula for the mean of a sample is

$\bar{x} = \frac{{\sum}x}{n}$

where, $n$ is the number of values in the data set.

$\bar{x}=\frac{0.15+0.82+0.81+1.44+2.7+3.28+4+4.7+4.96+6.49+7.25+8.03+8.4+12.15+31.89+32.47+33.79+36.80+72.92}{19}\\\\\bar{x}=14.371$

The standard deviation measures how close the set of data is to the mean value of the data set. If data set have high standard deviation than the values are spread out very much. If data set have small standard deviation the data points are very close to the mean.

To find standard deviation we use the following formula

$\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }$

The mean of a sample is $\bar{x}=14.371$ .

Create the below table.

Find the sum of numbers in the last column to get.

$\sum{\left(x_i - \overline{X}\right)^2} = 6422.0982$

$\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} } = \sqrt{ \frac{ 6422.0982 }{ 19 - 1} } \approx 18.889$

7 0

3 years ago